ECTS - Optimization in Civil Engineering

Optimization in Civil Engineering (CE523) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Optimization in Civil Engineering CE523 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Saeid Kazemzadeh Azad
Course Assistants
Course Objectives The objective of this course is to introduce the main applications of optimization in civil engineering to graduate students. Different types of civil engineering optimization problems will be formulated and solved using various optimization techniques. This course aims to enable the students to use and implement different optimization algorithms for civil engineering applications.
Course Learning Outcomes The students who succeeded in this course;
  • The students will formulate mathematical statements of civil engineering optimization problems.
  • The students will implement different optimization algorithms.
  • The students will learn geotechnical, hydraulic and water resources, transportation, structural and project management applications of optimization.
Course Content Formulation of Optimization Problems; Classification of Optimization Problems; Traveling Salesman Problem; Geotechnical, Hydraulic and Water Resources, Transportation, Structural, Project Management Applications of Optimization.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction and Basic Concepts
2 Classification of Optimization Problems
3 Optimization Algorithms
4 Optimization Algorithms
5 Traveling Salesman Problem
6 Optimization in Transportation Engineering
7 Optimization in Geotechnical Engineering
8 Optimization in Geotechnical Engineering
9 Structural Optimization
10 Structural Optimization
11 Optimization in Project Management
12 Optimization in Hydraulic and Water Resources Engineering
13 Optimization in Hydraulic and Water Resources Engineering
14 Practical Applications
15 Final Exam Period
16 Final Exam Period

Sources

Other Sources 1. Zong Woo Geem, Optimization in Civil & Environmental Engineering, Old City Publishing, 2012.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report 1 30
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to solve mathematically defined advanced engineering problems analytically. X
2 An ability to solve mathematically defined advanced engineering problems numerically. X
3 An ability to use the technology and the literature effectively in the civil engineering research domain. X
4 An ability to conduct qualitative research in civil engineering and publish articles in conferences and journals in the area.
5 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. X
6 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project 1 9 9
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 13 13
Prepration of Final Exams/Final Jury 1 13 13
Total Workload 125